IEM702 Econometrics II

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code IEM702
Name Econometrics II
Semester . Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. SEDA ŞENGÜL


Course Goal

The aim of this course is to teach advanced methods of econometrics to students who received BA Degree in Econometrics, Mathematics and Statistics.

Course Content

Multiple linear regression model, least squares estimation, finite sample properties of OLS estimators, asymptotic properties. Functional and structural changes in the format, binary variables, and modeling of structural break test model stability test. Non-linear regression models, generalized regression model, the problem of heteroscedasticity, multiple correlation, panel data models, regression equations of my site, simultaneous equations model, maximum likelihood estimation, models with lagged variables, time series models.

Course Precondition

No prerequisites are required.

Resources

D. Gujarati "Introduction to Econometrics"

Notes

lectures


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Improves his/her level of knowledge in econometrics
LO02 Interprets by econometric the economics problems.
LO03 Learns advanced econometric subjects.
LO04 Establishes econometrics model.
LO05 analyzes and interprets the econometric model.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Explains contemporary concepts about Econometrics, Statistics, and Operation Research 4
PLO02 Bilgi - Kuramsal, Olgusal Explains relationships between acquired knowledge about Econometrics, Statistics, and Operation Research 3
PLO03 Bilgi - Kuramsal, Olgusal Explains how to apply acquired knowledge in the field to Economics, Business, and other social sciences 2
PLO04 Beceriler - Bilişsel, Uygulamalı Performs conceptual analysis to develop solutions to problems 5
PLO05 Beceriler - Bilişsel, Uygulamalı Models problems with Mathematics, Statistics, and Econometrics 3
PLO06 Beceriler - Bilişsel, Uygulamalı Interprets the results obtained from the most appropriate method to predict the model 4
PLO07 Beceriler - Bilişsel, Uygulamalı Synthesizes the information obtained by using different sources within the framework of academic rules in a field that does not research 2
PLO08 Beceriler - Bilişsel, Uygulamalı Uses acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution 3
PLO09 Beceriler - Bilişsel, Uygulamalı Searches for new approaches and methods to solve problems being faced 4
PLO10 Beceriler - Bilişsel, Uygulamalı Presents analysis results conveniently 2
PLO11 Beceriler - Bilişsel, Uygulamalı Collects/analyzes data in a purposeful way 5
PLO12 Yetkinlikler - İletişim ve Sosyal Yetkinlik Converts its findings into a master's thesis or a professional report in Turkish or a foreign language 3
PLO13 Beceriler - Bilişsel, Uygulamalı Develops solutions for organizations using Econometrics, Statistics, and Operation Research 2
PLO14 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Performs an individual work to solve a problem with Econometrics, Statistics, and Operation Research 1
PLO15 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Leads by taking responsibility individually and/or within the team 2
PLO16 Yetkinlikler - Öğrenme Yetkinliği Being aware of the necessity of lifelong learning, it constantly renews itself by following the current developments in the field of study
PLO17 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses a package program of Econometrics, Statistics, and Operation Research or writes a new code
PLO18 Yetkinlikler - İletişim ve Sosyal Yetkinlik Interprets the feelings, thoughts and behaviors of the related persons correctly/expresses himself/herself correctly in written and verbal form
PLO19 Yetkinlikler - Alana Özgü Yetkinlik Interprets data on economic and social events by following current issues
PLO20 Yetkinlikler - Alana Özgü Yetkinlik Applies social, scientific and professional ethical values


Week Plan

Week Topic Preparation Methods
1 Repeating Multiple Linear Regression Model and Linear Hypothesis Testing Reading relavant parts in source books according to weekly program Öğretim Yöntemleri:
Anlatım, Soru-Cevap
2 Deviations from the classical linear regression model: Multicollinearity Reading relavant parts in source books according to weekly program Öğretim Yöntemleri:
Anlatım, Soru-Cevap
3 Deviations from the classical linear regression model: autocorrelation Reading relavant parts in source books according to weekly program Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
4 Deviations from the classical linear regression model: heterocedasticity Reading relavant parts in source books according to weekly program Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
5 Deviations from the classical linear regression model: Revision Reading relavant parts in source books according to weekly program Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
6 Structural change and chow test Reading relavant parts in source books according to weekly program Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
7 Paper work Reading relavant parts in source books according to weekly program Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
8 Mid-Term Exam Ölçme Yöntemleri:
Yazılı Sınav
9 Structural change and Dummy variables Reading relavant parts in source books according to weekly program Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
10 Multi-Equation Econometric Models: Structural Model and Reduced-Form Reading relavant parts in source books according to weekly program Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
11 Multiple Equation Econometric Models: Investigation of identifiability of structural model Reading relavant parts in source books according to weekly program Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
12 Multiple Equation Econometric Models:Investigation of identifiability of reduced-form Reading relavant parts in source books according to weekly program Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
13 Multiple Equation Econometric Models:Investigation of identifiability of reduced-form (II) Reading relavant parts in source books according to weekly program Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
14 Paper work (I) Reading relavant parts in source books according to weekly program Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
15 Writing article (II) Reading relavant parts in source books according to weekly program Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
16 Term Exams Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS